2 research outputs found
Smart sound sensor to detect the number of people in a room
International audienceAmbient sound monitoring is a widely used strategy to follow older adults, which could help them achieve healthy ageing with comfort and security. In a previous work, we have already developed a smart audio sensor able to recognize everyday life sounds in order to detect activities of daily living (ADL) and distress situations. In this paper, we propose to add a new functionality by analyzing the speech flow to detect the number of people in a room. The proposed algorithms are based on speaker diarization methods. This information can be used to better detect activities of daily life but also to know when the person is home alone. This functionality can also offer more comfort through light, heating and air conditioning adaptation to the number of people in an environment
Home monitoring for frailty detection through sound and speaker diarization analysis
As the French, European and worldwide populations are aging, there is a
strong interest for new systems that guarantee a reliable and privacy
preserving home monitoring for frailty prevention. This work is a part of a
global environmental audio analysis system which aims to help identification of
Activities of Daily Life (ADL) through human and everyday life sounds
recognition, speech presence and number of speakers detection. The focus is
made on the number of speakers detection. In this article, we present how
recent advances in sound processing and speaker diarization can improve the
existing embedded systems. We study the performances of two new methods and
discuss the benefits of DNN based approaches which improve performances by
about 100%.Comment: JETSAN, Jun 2023, Aubervilliers & Paris, Franc